A Self-Adaptive Topologically Connected-Based Particle Swarm Optimization

A Self-Adaptive Topologically Connected-Based Particle Swarm Optimization

Most existing particle swarm optimization (PSO) variants use a single learning strategy and a fixed neighborhood structure for all particles during the search process. The adoption of rigid learning pattern and communication topology may restrict the intelligence level of each particle, hence degrad...

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Bibliographic Details
Main Authors: Wei Hong Lim, Nor Ashidi Mat Isa, Sew Sun Tiang, Teng Hwang Tan, Elango Natarajan, Chin Hong Wong, Jing Rui Tang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Alternative search operator
global optimization
improved learning framework
particle swarm optimization
self-adaptive
topology connectivity adaptation
Online Access:https://ieeexplore.ieee.org/document/8515194/

Internet

https://ieeexplore.ieee.org/document/8515194/

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